Accessibility settings

This paper is in the following e-collection/theme issue:

Wearable Devices and Sensors (1261) Advanced Data Analytics in eHealth (254) Physical Activity for Older People (314) Falls Prevention in the Elderly (120) Advance Care Planning for Older Adults (8)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/93877, first published .
Senior man's fall risk assessment on phone screen while walking outdoors.

Evaluation of the Importance of Stopping Elderly Accidents, Deaths, and Injuries (STEADI)–Based Factors in Wearable Fall Risk Assessment: Secondary Data Analysis

Evaluation of the Importance of Stopping Elderly Accidents, Deaths, and Injuries (STEADI)–Based Factors in Wearable Fall Risk Assessment: Secondary Data Analysis

Authors of this article:

Nozhan Ghoreishi1 Author Orcid Image ;   Stella Ansah1 Author Orcid Image ;   Jiayu Lu1 Author Orcid Image ;   Wei Lu2 Author Orcid Image ;   Sanghee Moon3 Author Orcid Image ;   Ferdinand Delgado3 Author Orcid Image ;   Diliang Chen1 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

Nozhan Ghoreishi   1 , BS ;   Stella Ansah   1 , BS ;   Jiayu Lu   1 , MS ;   Wei Lu   2 , PhD ;   Sanghee Moon   3 , PhD ;   Ferdinand Delgado   3 , PhD ;   Diliang Chen   1 , PhD

1 Department of Electrical and Computer Engineering, University of New Hampshire, Durham, NH, United States

2 Department of Computer Science, Keene State College, Keene, NH, United States

3 Department of Kinesiology, University of New Hampshire, Durham, NH, United States

Corresponding Author:

  • Diliang Chen, PhD
  • Department of Electrical and Computer Engineering
  • University of New Hampshire
  • 33 Academic Way
  • Durham, NH 03824
  • United States
  • Phone: 1 2163029368
  • Email: diliang.chen@unh.edu